DEVELOPMENT OF A METHODOLOGY TO DETERMINE THE BEST GRID SAMPLING IN PRECISION COFFEE GROWING
Author(s) -
Vanessa Figueiredo,
Fábio Moreira da Silva,
Gabriel Araújo e Silva Ferraz,
Marcelo Silva de Oliveira,
Sthéfany Airane dos Santos
Publication year - 2018
Publication title -
coffee science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.268
H-Index - 15
eISSN - 1984-3909
pISSN - 1809-6875
DOI - 10.25186/cs.v13i3.1445
Subject(s) - coffea arabica , grid , sampling (signal processing) , mathematics , agricultural engineering , statistics , environmental science , computer science , horticulture , biology , engineering , geometry , filter (signal processing) , computer vision
Precision agriculture is based on a set of techniques that explore the spatial variability of properties related to a determined area. The aim of this study was to develop and test a methodology to evaluate the quality of grid sampling. The experiment was performed in three areas of 112, 50 and 26 ha, in coffee plantations ( Coffea arabica ) with cultivar Catuai 144, in the Tres Pontas Farm, located in Presidente Olegario, MG, Brazil, in 2014 and 2015. A total of 224, 100, and 52 georeferenced points (2.0 points/ha) were plotted in the areas regarding the soil chemical properties, respectively: phosphorus, potassium, calcium and magnesium. For the application methodology the standardized accuracy index (SAI), the standardized precision index (SPI) and the standardized optimal grid indicator (SOGI) were developed and tested. From grid 1 (2 points/ha), another three sampling grids (1.0, 0.7 and 0.5 point/ha) were adopted. The indexes were important to analyze the grid quality, whereas the SOGI allowed selecting the grid that best represented the properties.
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